AI-driven preformulation for small-molecule drug development.

From a SMILES string to a full developability dossier in seconds — ten fundamental preformulation properties, temperature- and pH-resolved profiles, and interpretable formulation descriptors.

Capabilities

Five prediction modules.
One SMILES.

Every module outputs actionable numbers — not just classifications — backed by interpretable ML and confidence estimates.

01 — Fundamentals

Fundamental preformulation prediction & critical property calculation

  • Density, MP, Tg
  • logP, logD₇.₄, logPapp
  • Acidic / Basic pKa
  • logS, kinetic solubility
  • FractionCSP3, TPSA, NumHAcceptors, …
01 · Fundamentals
02 · Solubility
02 — Solubility

Conditional solubility prediction across solvents and temperatures

  • Temperature-dependent solubility curves
  • Organic solvent solubility
  • Binary solvent systems
03 — pH Profile

pH-dependent preformulation estimation

  • pH-Species fraction profile
  • pH-dependent logS profile
  • pH-dependent logD profile
03 · pH Profile
04 · Developability
04 — Developability

Interpretable developability assessment for drug design

  • BCS classification
  • Druglikeness
  • Oral & injectable formulatability index
  • Fully interpretable
05 — Descriptors

IF-Des — interpretable formulation descriptors

  • Preformulation properties
  • Interpretable RDKit descriptors
  • Highly interpretable & information-rich
  • Batch generation
05 · IF-Des